Two-phase flow pattern identification using a fuzzy methodology

Author

Le Corre, J.-M. ; Aldorwish, Y. ; Kim, S. ; Ishi, M.

Author_Institution

Sch. of Nucl. Eng., Purdue Univ., West Lafayette, IN, USA

fYear

1999

fDate

1999

Firstpage

155

Lastpage

161

Abstract

A fuzzy methodology for two-phase flow pattern identification based on local time-averaged two-phase parameters (void fraction and interfacial area) obtained from a multi-sensor probe is presented. The experimental data are obtained in a 5.08 cm I.D. vertical co-current air/water loop at an axial location L/D=32. Raw data and trends from the fuzzy system are in good agreement with the experimental observations. Moreover, the method reveals the contribution of each flow regime to the two-phase flow system. As a conclusion, we suggest several ways for improving and using the proposed fuzzy methodology

Keywords

computational fluid dynamics; flow simulation; fuzzy set theory; identification; knowledge based systems; two-phase flow; axial location; experimental data; flow regime; fuzzy methodology; fuzzy system; interfacial area; local time-averaged two-phase parameters; multi-sensor probe; raw data; two-phase flow pattern identification; two-phase flow system; vertical co-current air/water loop; void fraction; Floods; Phase measurement; Read only memory; Temperature; Velocity measurement; Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Intelligence and Systems, 1999. Proceedings. 1999 International Conference on

Conference_Location

Bethesda, MD

Print_ISBN

0-7695-0446-9

Type

conf

DOI

10.1109/ICIIS.1999.810248

Filename

810248